Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
PURPOSE: Systematic study of the effects of averaging and other relevant training strategies in deep...
Multiple sclerosis (MS) is a chronic disease of the central nervous system. The occurrence of MS is ...
The scarcity of publicly available digital breast tomosynthesis (DBT) datasets significantly limits ...
This study presents an Internet of Things (IoT)-enabled Deep Learning Monitoring (IoT-E-DLM) model f...
Schistosomiasis currently affects over 250 million people and remains a public health burden despite...
Deep neural network (DNN) deployment has been confined to larger hardware devices due to their expen...
Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelec...
Retention time (RT) is essential in evaluating the likelihood of candidate structures in nontarget s...
Liver cirrhosis is a complex and progressive condition resulting from sustained liver injury and chr...
Epilepsy is a multifaceted and heterogenous neurological disorder that affects an estimated 70 milli...
OBJECTIVE: Stroke is a leading cause of long-term disability, significantly impacting patients' mobi...
The deep integration of artificial intelligence (AI) with research on food-derived peptides (FDPs) s...
This manuscript presents a comparative study of machine learning (ML) models in predicting the Stoke...
Retention time (RT) can provide orthogonal information to mass spectra, supporting the qualitative i...
Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...
Background Microsurgery is associated with a steep learning curve that requires extensive training t...
Hypergraphs, with their ability to model complex, beyond pair-wise correlations, presents a signific...
PURPOSE: To construct two machine learning radiomics (MLR) for invasive adenocarcinoma (IVA) predict...
Locomotor learning is important for improving gait and balance impairments in people with Parkinson'...
Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is o...
plants, rich in bioactive dibenzocyclooctadienes and triterpenoids, are widely used in traditional ...